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Synopsis
Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the properties of statistical, nonlinear cooperative systems in physics and neural networks. The author presents a coherent and clear, nontechnical view of all the basic ideas and results. More technical aspects are restricted to special sections and appendices in each chapter.
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Book Description
Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the properties of statistical, nonlinear cooperative systems in physics and neural networks.
From the Back Cover
One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers.
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- PublisherCambridge University Press
- Publication date1992
- ISBN 10 0521421241
- ISBN 13 9780521421249
- BindingPaperback
- LanguageEnglish
- Number of pages524
- Rating
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Modeling Brain Function: The World of Attractor Neural Networks
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Cambridge University Press, 1992
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ISBN 13: 9780521421249
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Modeling Brain Function : The World of Attractor Neural Networks
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Modeling brain function The world of attractor neural networks
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Modeling Brain Function: The World of Attractor Neural Networks
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